免疫遗传

这些研究结果提示IgAN有免疫遗传的背景。

It is thus concluded that IgAN have the FILA immunogenetic background .

一种基于免疫遗传算法的CSTR跟踪控制新方法

A new method for tracking control of continuously stirred tank reactor based on Immunogenetic Algorithm

基于免疫遗传算法的Web服务组合研究

Research on Immune Genetic Algorithm Based Web Services Composition

改进的DNA免疫遗传算法在车间调度中的应用

Application of Improved DNA Immune Genetic Algorithms on Workshop Scheduling

基于免疫遗传PID的快速反射镜控制

Control of fast reflection mirror based on immune genetic PID algorithm

基于免疫遗传算法的BP神经网络模型

Model of BP Neural Network Based on Immune Genetic Algorithm

基于免疫遗传算法参数优化的PID控制

Studying on PID Control with Parameters Optimization Based on Immune Genetic Algorithms

免疫遗传算法在BP神经网络中的应用

Application of immune genetic algorithm in BP neural networks

ERP中免疫遗传算法的关联规则挖掘

Association Rules Mining Based on Immune Genetic Algorithm in ERP System

基于免疫遗传的BP网络在机械手逆运动学中的应用

The Application of BP Nerval Network Based on IGA in Solving Inverse Kinematics of Manipulator

基于免疫遗传算法的水轮机调速器PID参数优化

The Application of Artificial Immune Genetic Algorithm in PID Parameter Optimization in Water Turbine Governor

基于Stretching技术的免疫遗传算法的研究

Study of Immune Genetic Algorithm Based on " Stretching " Technique

文中应用免疫遗传算法（IGA）对梯形和U形灌溉渠道断面的底宽及设计水深等参数进行了优化设计。

Immune genetic algorithm ( IGA ) is applied to canal transect design .

目的为探讨HLAⅡ类基因与类天疱疮（BP）的相关性，了解BP的免疫遗传发病背景。

Purpose To investigate the association between Bullous pemphigus ( BP ) and HLA class ⅱ genes .

TSP的等价解及其对免疫遗传算法的干扰

Equivalent Solutions of TSP and Its Interference on Immune-Genetic Algorithm

慢性肾小球肾炎与HLA免疫遗传强关联

Chronic glomerulonephritis and HLA

在锅炉蒸汽温度的PID参数优化过程中使用改进的免疫遗传算法，得到的结果具有良好的通用性和精确度。

The improved immune algorithm is applied in optimization of PID parameters of boiler vapor temperature . The methods have preferably general sense and precision .

文章用一种免疫遗传算法（ImmuneGeneticAlgorithm，简称IGA）对智能化电磁电器进行结构及控制参数优化设计。

A kind of Immune Genetic Algorithm ( IGA ) is applied to optimal design of the control and structure parameters of intelligent electromagnetic device in this paper .

一种新型免疫遗传算法对纤毛虫rRNA系统发育分析

Ciliate rRNA Molecular Phylogeny Based on a New Type of Immune Genetic Algorithm

基于免疫遗传算法的多机电力系统UPFC控制器

UPFC in Multi-Machine Power Systems Based on Immune Genetic Algorithm

一种基于免疫遗传的TSP求解方法

An Immune-genetic Based TSP Solution

目的：研究过敏性紫癜（AP）的发病机理是否有免疫遗传因素的参与。

Objective : To investigate the possible involvement of hereditary factors in the pathogenesis of anaphylactoid purpura ( AP ) .

为了解决火灾探测器闭环温箱的控制，提出了一种基于免疫遗传优化的RBF网络参数整定PID算法。

To resolve the control for heat tunnel of fire detector , a RBF network parameters tuning algorithm for PID based on immune genetic optimization is presented .

基于免疫遗传算法的GMDH网络模型及其应用

GMDH network model and its application based on immune genetic algorithm

目的探讨人白细胞DR抗原（HLADR）基因与动脉粥样硬化性脑梗死（ABI）免疫遗传的相关性。

Objective To evaluate the relationship between atherosclerotic brain infarction ( ABI ) and human leukocyte antigen DR ( HLA-DR ) gene at molecular level .

在此模型基础上，利用免疫遗传算法（IGA）实现对发酵过程补料优化控制参数的寻优；

Based on this SVM model , immune genetic algorithm ( IGA ) is applied to realize parameter optimization of material makeup ferment process control .

提出了一种支持构件化软件测试用例生成的改进的免疫遗传算法（ImprovedImmuneGeneticAlgorithm，简称IIGA），证明了算法的收敛性，并介绍了算法的基本思想。

This paper suggests an Improved Immune Genetic Algorithm ( IIGA ) supporting test case generation for component-based software , proves the astringency of the algorithm and introduces the idea of algorithm .

文中还提出了递归模糊神经控制器的混合学习算法，即先采用免疫遗传算法的粗学习，再采用BP梯度算法的细学习。

The mixed learning algorithm of the recursive fuzzy-neural controller is also put forward , including the thick learning of the immune genetic algorithm first , and then the thin learning of the BP algorithm .

免疫遗传算法IGA（ImmuneGeneticAlgorithm）是借鉴生命科学中免疫的概念与理论提出的一种智能算法，它将免疫机理引入基本遗传算法（SimpleGeneticAlgorithm），是一种启发式搜索算法。

Immune Genetic Algorithm , IGA , is one of intelligent Algorithms that being brought forward from immune conception and theory in life sciences . It is a heuristic Algorithm that the immune mechanism is introduced into simple genetic algorithm .

我们将FCM的学习问题转化为一个优化问题，模拟生物学中的自组织和自学习机制，提出了基于遗传算法的FCM学习和基于免疫遗传算法的FCM学习。

We transfer learning of FCM to optimization problem and imitate the self-organization and self-learning mechanism , the approach of FCM learning is presented based on genetic algorithm .